Results 191 to 200 of about 647,303 (326)

3P1-U03 Anomaly Detection using User's EEG(Intelligent Robotics Space (Integration of IT, RT and ET))

, 2014
Christian Peñaloza, Yasushi Mae, Masaru Kojima, Mitsuhiro Horade, Kazuto Kamiyama, Tatsuo Arai   +5 more
openalex   +2 more sources

Hippocampal Slow Oscillation: A Novel EEG State and Its Coordination with Ongoing Neocortical Activity [PDF]

, 2006
Trish Wolansky, Elizabeth Clement, Stephen R. Peters, M. A. Palczak, Clayton T. Dickson   +4 more
openalex   +1 more source

Fiber‐type soft bioelectronics for wearable and implantable sensing and therapy

BMEMat, EarlyView.
Fiber‐type soft bioelectronics are emerging as versatile platforms for wearable and implantable health monitoring and therapeutic applications. These bioelectronics use organic and inorganic matrices combined with advanced fillers, which feature high conductivity, electrochemical sensitivity, softness, and biocompatibility.
Haneul Kim, Hak Yong Kim, Ja Hoon Koo, Gi Doo Cha, Dae‐Hyeong Kim, Hye Jin Kim   +5 more
wiley   +1 more source

An exploratory analysis of ACNS electroencephalography patterns in 34 comatose patients after in-hospital cardiopulmonary resuscitation. [PDF]

Front Neurol
Zhang H, Yang Q, Zhang Z, Meng H, Wang J.   +4 more
europepmc   +1 more source

Marine silicon for biomedical sustainability

BMEMat, EarlyView.
Schematic illustrating marine silicon for biomedical engineering. Abstract Despite momentous divergence from oceanic origin, human beings and marine organisms exhibit elemental homology through silicon utilization. Notably, silicon serves as a critical constituent in multiple biomedical processes.
Yahui Han, Zhibo Yang, Wei Xia, Chengtie Wu   +3 more
wiley   +1 more source

Corrigendum to “The effect of electroconvulsive therapy on cerebral monoamine oxidase a expression in treatment-resistant depression investigated using positron emission tomography” [Brain Stimul 12 (3) (2019) 714–723]

Brain Stimulation, 2020
Pia Baldinger-Melich, Gregor Gryglewski, Cécile Philippe, Matej Murgaš, Gregory M. James, Chrysoula Vraka, Leo Silberbauer, Theresa Balber, Thomas Vanicek, Verena Pichler, Jakob Unterholzner, Georg S. Kranz, Andreas Hahn, Dietmar Winkler, Markus Mitterhauser, Wolfgang Wadsak, Marcus Hacker, Siegfried Kasper, Richard Frey, Rupert Lanzenberger   +19 more
doaj   +1 more source

Gaussian Connectivity-Driven EEG Imaging for Deep Learning-Based Motor Imagery Classification. [PDF]

Sensors (Basel)
Gomez-Rivera A, Collazos-Huertas DF, Cárdenas-Peña D, Álvarez-Meza AM, Castellanos-Dominguez G.   +4 more
europepmc   +1 more source

Data-Driven Dynamic Graph Convolution Transformer Network Model for EEG Emotion Recognition Under IoMT Environment

Xing Jin, Fa Zhu, Yu Shen, Gwanggil Jeon, David Camacho   +4 more
openalex   +1 more source

Análise de sinais e mapas cerebrais utilizando EEG: comparação entre modelos de representação linear e tensorial

, 2019
Resende Junior
openalex   +1 more source

Transforming Brain Health With Neurotechnology Convergence (Part II): Intelligent Neurointervention Systems for Neurological Disorders

Brain Health, EarlyView.
ABSTRACT Neurological disorders represent a critical domain within global health, necessitating advanced interventions to address complex pathologies such as tumors, functional disorders, and cerebrovascular diseases. Despite the proven benefits of early intervention, current treatment paradigms face significant challenges: (1) limited precision in ...
Qing Ye, Fei Peng, Chao Pan, Ping Zhang, Xuewei Xie, Zixiao Li, Yingxin Tang, Danyang Chen, Yuanwei Li, Jiawen Wu, Zao Han, Qing Dai, Quansheng Gu, Jizong Zhao, Zhouping Tang   +14 more
wiley   +1 more source